TY - GEN
T1 - Admission Control for URLLC Users in 5G Networks
AU - Mehmeti, Fidan
AU - La Porta, Thomas F.
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/11/22
Y1 - 2021/11/22
N2 - Ultra-Reliable Low-Latency Communications (URLLC) are one of the service types supported by 5G. These are characterized by a high reliability of delivering packets within a short deadline. To fulfill these stringent requirements, a special care must be taken to determine the required data rate of a user, given its traffic intensity and channel conditions. Furthermore, with the network resources being limited and the competition between the users in the cell, an important question that arises is that of admission control, so that the admitted users do not experience performance deterioration. In this paper, we provide the analysis that leads to an admission control policy. We do this for two types of users in terms of their traffic intensities and channel conditions: 1) homogeneous users, and 2) heterogeneous users. We validate our results on a trace. Results show that the number of admitted users depends on the traffic intensity and the worst channel conditions. An increase in traffic intensity by 3 times can decrease the number of admitted users by almost 35%.
AB - Ultra-Reliable Low-Latency Communications (URLLC) are one of the service types supported by 5G. These are characterized by a high reliability of delivering packets within a short deadline. To fulfill these stringent requirements, a special care must be taken to determine the required data rate of a user, given its traffic intensity and channel conditions. Furthermore, with the network resources being limited and the competition between the users in the cell, an important question that arises is that of admission control, so that the admitted users do not experience performance deterioration. In this paper, we provide the analysis that leads to an admission control policy. We do this for two types of users in terms of their traffic intensities and channel conditions: 1) homogeneous users, and 2) heterogeneous users. We validate our results on a trace. Results show that the number of admitted users depends on the traffic intensity and the worst channel conditions. An increase in traffic intensity by 3 times can decrease the number of admitted users by almost 35%.
UR - http://www.scopus.com/inward/record.url?scp=85120687448&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85120687448&partnerID=8YFLogxK
U2 - 10.1145/3479239.3485686
DO - 10.1145/3479239.3485686
M3 - Conference contribution
AN - SCOPUS:85120687448
T3 - MSWiM 2021 - Proceedings of the 24th International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
SP - 199
EP - 206
BT - MSWiM 2021 - Proceedings of the 24th International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
PB - Association for Computing Machinery, Inc
T2 - 24th ACM International Conference on Modelling, Analysis, and Simulation of Wireless and Mobile Systems, MSWiM 2021
Y2 - 22 November 2021 through 26 November 2021
ER -